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Description supplied by the original job listing.
Location: Bangalore
Work Mode: Hybrid
Experience: 4+ Years
We’re looking for a DevOps Engineer with a growth mindset and interest in AI-driven infrastructure to help build, automate and optimize our hybrid & multi-cloud environment across AWS, GCP and OCI.
This role combines DevOps + Cloud + Automation + AI/AIOps, making it ideal for engineers who want to work at the intersection of modern infrastructure and AI.
Key Responsibilities
Manage and support on-premises and multi-cloud infrastructure
Work across AWS, GCP & OCI
Build and optimize CI/CD pipelines and deployment automation
Implement Infrastructure as Code (IaC) and automation
Manage IAM, OIDC, SAML and least-privilege access
Integrate AI/GenAI tools into DevOps workflows for automation, troubleshooting and operational efficiency
Explore AIOps solutions for monitoring, anomaly detection, incident analysis and predictive insights
Leverage AI assistants/copilots to improve deployment, debugging and infrastructure management
Automate repetitive operational tasks using Python, Shell or similar scripting
Troubleshoot complex infrastructure, networking and application issues
Improve system reliability, security, scalability and observability
Required Skills
4+ years of DevOps / Cloud experience
Strong Linux & networking fundamentals
Hands-on experience with AWS / GCP / OCI
CI/CD – Jenkins, GitHub Actions, GitLab CI or similar
Docker & Kubernetes
Terraform / Ansible or other IaC tools
IAM & cloud security concepts
Python / Shell scripting
Monitoring & observability tools
Interest or hands-on exposure to AI/AIOps, GenAI tools or AI-powered DevOps automation
Work arrangement
No
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